• Solved a balanced Binary Classification problem, identifying congestion type in the telecommunication network of a city.
• Used Recursive Feature Elimination to identify which attributes contribute the most towards predicting the target variable.
• Achieved an accuracy of 94% on unseen data using the final trained model based on XGBoost tuned with gridsearchCV.